AWS Lambda enables our platform to deliver rapid flexibility at scale. All our backend microservices run on AWS Lambda and no time is spent maintaining server instances. Developers value that they spend most of their time rapidly developing core innovations, unburdened from provisioning, operating and managing servers.

Alt/S is a tech startup based in New York and Silicon Valley that specializes in data analytics and insights, moving the focus from reporting to actionable insights, predictive analytics, and next-gen applications. Alt/S’s Sportify platform is a sports-analytics service that uses modern data collection and modeling techniques to develop insights-driven analyses of the world’s largest sports. Sportify’s insights and content—powered by its innovative machine-learning-based platform—have reached more than 20 million fans since launch in June 2016.

The complete backend platform was built using an event-driven, completely serverless microservices architecture using AWS Lambda and related Amazon Web Services (AWS) products.

Different microservices were created using AWS Lambda to perform operations, including data acquisition, transformation, ingestion, analytics, a number of machine-learning activities such as pattern mining, supervised and unsupervised learning, predictions, and visualization.

Zero time is now spent deploying or maintaining server instances, as Sportify’s entire backend platform is based on AWS Lambda.

The solution scales automatically.

New products and features are delivered faster since each distinct feature can be developed as a separate microservice that can be tested and deployed independently. A new product comprising a web application, secure RESTful API, user management, data store, predictive analytics and backend workflows was built, tested, deployed and scaled in less than four weeks. This was primarily made possible by leveraging AWS Lambda and its integration with multiple AWS services.

Services run only on demand based on usage and don’t need to run throughout the day, which lowers costs.

Developer productivity has improved as their time is primarily spent developing core product innovations.